Genworth
Senior ML/AI Engineer
Dumbarton, Virginia · Senior
Sponsorship not specified$121k-$187kDetected 17 days ago
PythonSQLDatabricksVector DatabasesAWSAzureCloud PlatformsKubernetesCI/CDMachine LearningDeep LearningSparkData EngineeringNLPLLMsRAGMLOpsStatisticsA/B TestingUnityCollaboration
About the role
- We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our growing data and machine learning organization.
- A successful candidate is both an innovative ML practitioner and a strong hands-on engineer who can take projects from concept to production.
- You are comfortable navigating ambiguity, working with incomplete data, leading technical discussions, and implementing systems that are robust, observable, and maintainable.
Responsibilities
- Develop LLM-driven applications, prompt engineering strategies, and retrieval-augmented generation (RAG) systems when applicable.
- Design and implement scalable features using Delta Lake, Spark, and Databricks Feature Store.
- Partner with data engineering teams to understand data availability, quality, lineage, and ingestion patterns.
- Build automated, reproducible pipelines that support training, validation, and model refresh cycles.
- Own end-to-end ML lifecycle using Databricks workflows, MLflow, feature stores, and model registries.
- Develop CI/CD and automated model deployment pipelines that ensure performance and reliability.
- Implement monitoring for drift, model degradation, data quality, and performance regressions.
- Design modular, scalable ML architectures that integrate with APIs, data warehouses, microservices, and downstream applications.
Requirements
- Experience deploying ML models to production with reliable pipelines and monitoring.
- Strong ability to explain technical concepts to non-technical stakeholders.
- Experience working in agile product environments.
- Proficiency with SQL and working with large-scale distributed datasets.
Nice to have
- Experience with Databricks Model Serving, Unity Catalog, Feature Store, and Delta Live Tables.
- Familiarity with cloud infrastructure (AWS and Azure), Kubernetes, and container orchestration.
- Experience with real-time ML systems, streaming data, or event-driven architectures.
Skills
- Actual compensation will vary based on geographic location, experience, skills, and other job-related factors.
Compensation
- Disclaimer: This role is aligned to a national market-based pay range.
Benefits
- Competitive Compensation & Total Rewards Incentives
- Comprehensive Healthcare Coverage
- Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
- Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
- Disability, Life, and Long Term Care Insurance
- Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
- Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
- Caregiver and Mental Health Support Services
- In addition to base salary, this role is eligible to participate in a bonus incentive plan.
- Model Development & Applied Machine Learning
- Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP, anomaly detection, and generative AI use cases.
Company info
- Incentive compensation is based on individual and company performance and is not guaranteed.
Visa & Work Authorization
- This role is not eligible for employment visa sponsorship *
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This listing is sourced directly from Genworth's careers page and normalized into a canonical job model.